ADE20K Segmentation
by Zhou et al. / MIT CSAIL · open-source · Last verified 2026-03-17
ADE20K is the benchmark for semantic scene parsing, containing 25,000 images densely annotated with 150 semantic categories. Mean Intersection over Union (mIoU) is the standard metric, and it drives progress in perception systems for autonomous driving, robotics, and scene understanding.
https://ade20k.csail.mit.edu ↗B+
B+—Good
Adoption: AQuality: AFreshness: C+Citations: A+Engagement: F
Specifications
- License
- BSD 3-Clause
- Pricing
- open-source
- Capabilities
- evaluation, semantic-segmentation, scene-parsing
- Integrations
- Use Cases
- model-evaluation, computer-vision, autonomous-driving
- API Available
- No
- Evaluated Models
- mask2former, segformer-b5, internimage-xl, swin-large
- Metrics
- miou, pixel-accuracy
- Methodology
- Single-scale evaluation on the 2,000-image validation set. mIoU computed by averaging per-class IoU across all 150 semantic categories. Pixel accuracy reported as a secondary metric.
- Last Run
- 2025-11-20
- Tags
- semantic-segmentation, scene-parsing, vision, miou, dense-prediction
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
76Adoption
88
Quality
89
Freshness
58
Citations
92
Engagement
0